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dc.date.accessioned 2004-03-22T18:42:21Z
dc.date.available 2004-03-22T03:00:00Z
dc.date.issued 2001 es
dc.identifier.uri http://hdl.handle.net/10915/9417
dc.description.abstract The key problem in fractal image compression is that of obtaining the IFS code (a set of linear transformations)which approximates a given image with a certain prescribed accuracy (inverse IFS problem).In this paper,we analyze and compare the performance of sharing and crowding niching techniques for identifying optimal selfsimilar transformations likely to represent a selfsimilar area within the image. The best results are found using the deterministic crowding method.We also present an nteractive Matlab program implementing the algorithms described in the paper.The key problem in fractal image compression is that of obtaining the IFS code (a set of linear transformations)which approximates a given image with a certain prescribed accuracy (inverse IFS problem).In this paper,we analyze and compare the performance of sharing and crowding niching techniques for identifying optimal selfsimilar transformations likely to represent a selfsimilar area within the image. The best results are found using the deterministic crowding method.We also present an nteractive Matlab program implementing the algorithms described in the paper. es
dc.format.extent 12 p. es
dc.language en es
dc.title A comparison of different evolutive niching strategies for identifying a set of selfsimilar contractions for the IFS inverse problem es
dc.type Articulo es
sedici.identifier.uri http://journal.info.unlp.edu.ar/journal/journal5/papers/p3.pdf es
sedici.creator.person Gutiérrez Llorente, José Manuel es
sedici.creator.person Ivanissevich, María Laura es
sedici.creator.person Cofiño, A. S. es
sedici.subject.materias Ciencias Informáticas es
sedici.subject.descriptores Algoritmos evolutivos es
sedici.subject.descriptores Fractales es
sedici.subject.descriptores Compresión es
sedici.subject.descriptores Procesamiento de imagen es
sedici.subject.descriptores Informática es
sedici.subject.keyword evolutive algorithms; fractals; iterated function systems; image compression es
sedici.description.fulltext true es
mods.originInfo.place Facultad de Informática es
sedici.subtype Articulo es
sedici.rights.license Creative Commons Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0)
sedici.rights.uri http://creativecommons.org/licenses/by-nc/3.0/
sedici.description.peerReview peer-review es
sedici2003.identifier ARG-UNLP-ART-0000000148 es
sedici.relation.journalTitle Journal of Computer Science & Technology es
sedici.relation.journalVolumeAndIssue vol. 1, no. 5 es


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